Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Research Scientist
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- Remote from
- USA
- Salary
- USD 168k–255k / yr
- Department
- Data Science & Analytics
- Employment
- Full Time
- Experience
- Open level
- Published
- Apply before
- 18 Nov 2026
- Listing views
- 25
- Application actions
- 2
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The role, at a glance.
Roboflow is seeking a Research Scientist to set and lead original machine-learning research directions in computer vision. The role focuses on identifying real-world open problems, developing novel algorithms and theoretical approaches, and publishing at leading research venues. The scientist will work closely with engineering partners to translate validated research into scalable production systems. Candidates need strong ML theory, a publication record, rigorous experimental practices, and the ability to communicate with scientific, developer, and business audiences.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Pace & Pressure
4/5Autonomy Level
5/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
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Sample interview questions
I would begin by defining the user or model failure mode precisely, reviewing relevant literature, and identifying the limitations of existing assumptions. I would formulate a falsifiable hypothesis, establish strong baselines and evaluation metrics, then iterate through ablations to verify which parts of the proposed method create the improvement.
I evaluate novelty against constraints that matter in deployment, including data diversity, inference cost, robustness, and integration complexity. A method is most valuable when it improves a meaningful outcome over credible baselines and can be reproduced and adopted by engineering teams.
I would use carefully partitioned datasets representing different domains, hardware conditions, annotation quality, and long-tail scenarios. In addition to aggregate metrics, I would analyze subgroup performance, calibration, failure modes, and robustness under realistic shifts, then use those findings to guide model and data improvements.
I version datasets, code, environments, configurations, and random seeds; log experiments systematically; and define evaluation procedures before interpreting results. I also run independent reproductions of key findings and document limitations, negative results, and implementation details needed for others to validate the work.
I would align early on the target user workflow, latency, memory, accuracy, and reliability requirements. I would provide a well-documented reference implementation and benchmark suite, partner on profiling and simplification, and remain involved through staged evaluation so production tradeoffs are measured rather than assumed.
About this role.
Who We Are
Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too.
We’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow’s machine learning open source and hosted tools. That includes counting cells to accelerate cancer research, improving construction site safety, digitizing floor plans, preserving coral reef populations, guiding drone flight, and much more.
Our team is small relative to our impact, and we believe our user success is our success (not the inverse). A team member summarized: “Roboflow is a company full of giant brains and tiny egos.” We find software has a multiplier effect on all roles (not only product and engineering), so Roboflow employs developers across the company in design, sales, customer support, marketing, and beyond.
We’re supported by great customers and investors, having raised over 63 million from Google Ventures, Y Combinator, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors.
What You’ll Do
As a Research Scientist, you will originate and drive the novel machine learning research directions that shape Roboflow’s research agenda. Because of Roboflow’s huge userbase, we have a unique visibility into how people are using computer vision in the real world, including in what circumstances existing methods are unable to solve user problems.
Our Research Team’s mission is to introduce novel methods that generalize as well as possible across our userbase. This includes methods that learn well on diverse data, run efficiently on different hardware targets, and solve unique categories of problems. You will identify the most promising open problems in computer vision, develop original theoretical approaches and algorithms to address them, and publish your work at top conferences. You’ll partner closely with our engineering team, who will take your research and translate it into production systems running at scale.
Who You Are
You are a pragmatic, experienced machine learning researcher who wants to be an important part of an exceptional team that focuses on using Roboflow’s computer vision tools to impact and improve every industry. You have high agency and a bias toward action.
Masters / PhD in AI, machine learning, computer vision, robotics, or similar technical field of study, or equivalent industry experience
History of publication at conferences / journals (CVPR, NeurIPS, ICLR, etc.)
Deep understanding of ML theory and a track record of turning open problems into novel, well-formed research directions
Values scientific rigour and reproducibility
Passionate about computer vision and solving problems users value
Pragmatic approach to utility in practice (not just in theory)
Cares about open source and the broader research/developer ecosystem
Writes and communicates clearly — able to explain your work to the scientific community, the developer community, and non-research stakeholders inside Roboflow
Preferred but not required:
Familiarity with the practical constraints of optimizing models for edge hardware and training models on distributed infrastructure
Experience collaborating with engineering teams to move research from prototype to production
Where You’ll Work
Roboflow’s team is distributed across the world. We currently have Hubs in New York City, San Francisco, and Brazil (and plan to open more as we grow density in new cities). We provide opportunities (like team onsites in different cities) and resources (like a $4000/yr travel stipend) to work in person with other team members as much as you’d like, while also supporting remote team members. You can work from one of our Hubs (we offer a relocation bonus), work from home, work at co-working spaces, etc. We want you to work where you work best!
What You’ll Receive
To determine your salary, we use a number of market and data-driven salary sources. We review all salaries every six months to ensure we stay in line with the market.
💰 The target compensation for this role is $168,000 – $255,000 base. Range is based on location and level.
📈 In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights:
$4000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers
Cover up to 100% of your health insurance costs for you and your partner or family
$350/mo Productivity stipend to spend on things that make your work environment more productive, like high-speed internet at home or a co-working space
$350/mo AI Stipend
$500 one time home office stipend
$150/mo Team lunch stipend
Unlimited PTO – with an annual 2 week minimum, we encourage you to take time off for yourself
12 weeks parental leave
Equity in the company so we are all invested in the future of computer vision
Interview Process (~4.5 hours)
Below is the interview process you can expect for this role. We’re committed to building an exceptional team and aim to be thoughtful while also moving quickly. We respect your time and strive to make decisions efficiently, depending on scheduling and availability.
You’ll have several conversations with the hiring manager, a member of the Roboflow leadership team, and complete a role-relevant project or challenge.
Throughout the process, you’ll speak directly with team members about what it’s like to work and succeed at Roboflow. Below is the interview process you can expect for this role.
Before the Interview:
We’ll review your application, LinkedIn, Github, Google Scholar, etc.
The best way to stand out is to write about something you’ve built with Roboflow or contribute to one of our open source projects.
Introduction Phase:
[30m] Meet with hiring manager to assess for overall mindset and skillset
[1h30m] Technical Assessment
Prior Research Deep Dive
Software Fundamentals
Math Question
Team Interview Phase:
[30m] Meet with another member of the team.
Build with Roboflow Phase:
You will build a small project with Roboflow to showcase your creativity and technical skills.
[30m] Meet with our CTO, Brad Dwyer, for another interview and to demo your project
Final Interview Stage:
[60m] Meet with hiring manager again
Use this time to review specifics about the job description
Begin working through your 30/60/90 projects
Ask questions!
[30m] Leadership conversation focused on culture and company vision (if needed)
[30m] Additional leadership discussion to discuss culture
References:
References are required as part of our process. We will reach out to coordinate timing.
Note: you are welcome to request additional conversations with anyone you would like to meet and we will accommodate as best we can.
Not sure if this is you?
We want a diverse, global team with a broad range of experience and perspectives. We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.
Learn More About Us
At Roboflow, we believe great ideas come from everywhere, and everyone. We’re proud to be an Equal Opportunity Employer committed to building a diverse and inclusive team. We consider all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other legally protected characteristics.
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